Citation: | ZHANG Jun, ZHANG Peng, ZHANG Zheng, BAI Yunfei. Similar HED-Net for Salient Human Detection in Thermal Infrared Images[J]. Infrared Technology , 2023, 45(6): 649-657. |
[1] |
ZHAO Z Q, ZHANG P, XU S T, et al. Object detection with deep learning: a review[J]. IEEE Transactions on Neural Networks and Learning Systems of IEEE, 2018, 30(11): 3212-3232.
|
[2] |
ZHANG Y, GUO L, CHENG G. Improved salient objects detection based on salient points[C]//35th Chinese Control Conference (CCC) of IEEE, 2016. DOI. : 10.1109/ChiCC. 2016.7554008.
|
[3] |
ZHAN Jin, HU Bo. Salient object contour detection based on boundary similar region[C]//Fourth International Conference on Digital Home IEEE Computer Society, 2012. DOI: 10.1109/ICDH.2012.74.
|
[4] |
Yuna Seo, Donghoon Lee, Yoo C D. Salient object detection using bipartite dictionary[C]//IEEE International Conference on Image Processing, 2014. DOI: 10.1109/ICIP.2014.7025228.
|
[5] |
Nouri F, Kazemi K, Danyali H. Salient object detection via global contrast graph[C]//2015 Signal Processing and Intelligent Systems Conference (SPIS) Of IEEE, 2016. DOI: 10.1109/SPIS.2015.7422332.
|
[6] |
Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 39(4): 640-651.
|
[7] |
Simonyan K, Zisserman A. Very deep convolutional networks for large-sale image recognition[J]. Computer Science, 2014. DOI: 10.48550/arXiv.1409.1556.
|
[8] |
Sewak M. Practical Convolution Neural Networks[M]. Birmingham: Published by Packt Publishing Ltd. 2018.
|
[9] |
LIU Wei, Dragomir Anguelov, Dumitru Erhan, et al. SSD: single shot multiBox detector[C]//IEEE European Conference on Computer Vision (ECCV), 2016, DOI: 10.1007/978-3-319-46448-0_2.
|
[10] |
HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, DOI: 10.1109/CVPR.2016.90.
|
[11] |
HUANG G, LIU Z, Laurens V D M, et al. Densely connected convolutional networks[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017, DOI: 10.1109/CVPR.2017.243.
|
[12] |
REN Qinghua, HU Renjie. Densely connected refinement network for salient object detection[C]//International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2018, DOI: 10.1109/ISPACS.2018.8923354.
|
[13] |
Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation[C]//2015 MICCAI, DOI: 10.1109/ACCESS.2021.3053408.
|
[14] |
LIU N, HAN J, YANG M H. PiCANet: learning pixel-wise contextual attention for saliency detection[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) of IEEE, 2018: DOI: 10.48550/arXiv.1708.06433.
|
[15] |
FENG M, LU H, DING E. Attentive feedback network for boundary-aware salient object detection[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, DOI: 10.1109/CVPR.2019.00172.
|
[16] |
QIN Xuebin, ZHANG Zichen, HUANG Chenyang. et al. BASNet: boundary-aware salient object detection[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) of IEEE, 2019, DOI: 10.1109/CVPR.2019.00766.
|
[17] |
LIU Jiangjiang, HOU Qibin, et al. A simple pooling-based design for real-time salient object detection[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition of IEEE, 2019, DOI: 10.1109/CVPR.2019.00404..
|
[18] |
XIE S, TU Z. Holistically-nested edge detection[J]. International Journal of Computer Vision, 2017, 125(5): 3-18.
|
[19] |
Mark Sandler, Andrew Howard, et al. MobileNet V2: inverted residuals and linear bottlenecks[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018: 4510-4520, DOI: 10.1109/CVPR.2018.00474.
|
[20] |
Andrew Howard, M Zhu, B Chen, et al. MobileNets: efficient convolution neural networks for mobile vision application[J/OL]//Computer Science, arXiv: 1704.04861, https://arxiv.org/abs/1704.04861.
|
[21] |
YU Fisher, Koltun V. Multi-scale context aggregation by dilated convolutions[C]//The International Conference on Learning Representations, 2016, DOI: 10.48550/arXiv.1511.07122.
|
[22] |
CHEN L C, Papandreou G, Schroff F, et al. Rethinking atrous convolution for semantic image segmentation[C]//Computer Science, 2017. arXiv: 1706.05587, https://arxiv.org/abs/1706.05587.
|
[23] |
CHEN Q, XU J, Koltun V. Fast image processing with fully convolutional networks[C]//ICCV of IEEE, 2017, DOI: 10.1109/ICCV.2017.273.
|
[24] |
LIN Tsungyi, Piotr Dollar, R Girshick, et al. Feature pyramid networks for object detection[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) of IEEE, 2017, DOI: 10.1109/CVPR.2017.106.
|
[1] | FENG Hongwei, LIU Yuanyuan, WEN Ziteng, TAN Yong. Recognition Algorithm for an Infrared Flame Detector Based on an Improved Takagi-Sugeno Fuzzy Radial Basis Function Neural Network[J]. Infrared Technology , 2021, 43(1): 37-43. |
[2] | HAO Zhenghui, ZHANG Xuesong, WANG Gao, DENG Fangfang, WEI Xuan, YUAN Dongfang. Auto Focusing Evaluation Function Based on Edge Contour Extraction[J]. Infrared Technology , 2018, 40(2): 170-175. |
[3] | PAN Xuejuan, ZHU Youpan, PAN Chao, XIA Likun, ZENG Bangze, LUO Lin, ZHAO Deli, LI Zemin. The Influence of Energy Fluctuation of Image on Auto Focus Sharpness Evaluation Function[J]. Infrared Technology , 2016, 38(12): 1032-1037. |
[4] | ZHAO Xiaoli, ZHOU Pucheng, XUE Mogen. A Kind of Infrared Image Segment Method Using Improved Chan-Vese Model[J]. Infrared Technology , 2016, 38(9): 774-778. |
[5] | GUO Jingbin, FENG Huajie, WANG Long, PENG Qinjian, LI Xingfei. Design of Focusing Window Based on Energy Function of Gradient[J]. Infrared Technology , 2016, 38(3): 197-202. |
[6] | YU Hao, LIU Bing-qi, YING Jia-ju, HU Wen-gang. One-Dimension Image Edge Detection Method Based on Sigmoidal Function Fitting[J]. Infrared Technology , 2014, (10): 816-819. |
[7] | LIU En-fan, YANG Jiu-cheng, SHI Wen-jun, XU Guo-qiang. An Infrared Image Segmentation Approach based on Improved Chan-Vese Model[J]. Infrared Technology , 2011, 33(9): 545-551. DOI: 10.3969/j.issn.1001-8891.2011.09.013 |
[8] | WEI Tong-lei, ZENG Qing-ping, ZHOU Yan, BAI Bin. A Method for Radial Moving Small Targets Detecting[J]. Infrared Technology , 2007, 29(12): 712-715. DOI: 10.3969/j.issn.1001-8891.2007.12.008 |
[9] | CAO Zhan-hui, LI Yan-jun, ZHANG Ke, WU Pan-long. A Novel Linear Edge Extraction Method Based on Gaussian Function[J]. Infrared Technology , 2006, 28(4): 207-209. DOI: 10.3969/j.issn.1001-8891.2006.04.006 |
[10] | YU Rui-xing, LI Yan-jun, ZHANG Ke. Infrared Image Edge Detection Using Improved Bubble Function[J]. Infrared Technology , 2006, 28(1): 36-38. DOI: 10.3969/j.issn.1001-8891.2006.01.009 |
1. |
吴锦涛,王安志,任春洪. RGB-T显著性目标检测综述. 红外技术. 2025(01): 1-9 .
![]() | |
2. |
谢晗孛. 基于HED的四边形检测系统的研究及实现. 自动化应用. 2024(10): 222-224+228 .
![]() | |
3. |
林瑞冰,罗芊芊,葛苏敏,吴卓俊,徐平华. 复杂背景图像中人体轮廓的自动提取. 北京服装学院学报(自然科学版). 2024(02): 104-110 .
![]() |